The nature and impact of police/mentoring relationships on the attitudes and behaviours of youth.
Bibliographic record
Abstract
The purpose of this study was to examine the effects of police mentoring relationships with youth on their attitudes and behaviours toward authority figures. The data was collected through a Case Study of the Essex Ontario Provincial Police Cop Camp. A random sample of 15 youths was studied. The participants were chosen by their teacher and their VIP officer because they showed some leadership potential but needed some discipline in that area. The counsellors of the camp were all O.P.P. officers who volunteered their time in order for the camp to be able to function. The participants of the camp were interviewed before and after their camp experiences, were asked to keep a journal and their parents were interviewed one month after camp was finished. In general, the results indicated that there was an impact on the youth created by the close relations they made with their counsellors who were police officers for the O.P.P. Their attitudes towards the role of the police officer were positive, and the participants all gained leadership skills while working under the strict expectations of the officers at the camp.Dept. of Education. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2006 .K569. Source: Masters Abstracts International, Volume: 45-01, page: 0175. Thesis (M.Ed.)--University of Windsor (Canada), 2006.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".